Firstly, it occurs in strong bursts that affect multiple receiver samples, which leads to time correlation.
The proposed technique introduces the margin distribution based classification loss as the optimization objective and minimizes the loss on training samples, which leads to an optimal margin distribution.
Therefore, the proposed representation of CCM is applicative especially under the condition of few samples, which leads to a more accurate selection of RD channels.
In the present case, the relatively low thermal conductivity despite a high electrical conductivity is probably related to the nanostructured nature of the samples, which leads to a strong phonon scattering in grain (sheets) boundaries.
Considering all the fit statistics, and despite the strong correlations among the four factors, the first-order factor model showed a better fit in both samples, which led us to pursue the analysis maintaining first and second-order models.
In addition, the oxidative detoxification of organophosphate nerve agents was achieved by using catalytic micromotors in peroxide-activated contaminated samples, which leads to more efficient neutralization processes and shorter reaction times [42].
Ferric iron was reduced to its ferrous state due to the presence of antioxidant activity and low pH levels in the samples, which led to the formation of an intensive blue ferrous-tripyridyltriazine complex.
We notice that the diameter of as-realized CNT-SiNW bundles shrinks by around 5 μm for all samples, which leads to a bundle diameter of 5, 15, and 25 μm for the corresponding CNT-SiNW bundle array with a periodicity of 20, 40, and 60 μm, respectively.
Modest (4% strain) pre-deformation of Ti3SiC2 at elevated temperatures results in roughly an order of magnitude increase in Q−1 as compared to as-sintered samples, which led us to the conclusion that the damping is due to the interaction of dislocation segments with the ultrasound waves.
